Agentic AI 20

AI-powered localization platform for multilingual content creation and data analysis. Ollang is a multilingual, multimodal, multiagent AI system engineered for localization, multilingual support, and data analysis. It offers AI dubbing, subtitling, and closed captioning services, along with a project management platform (OLabs) to streamline localization workflows. Ollang leverages Agentic AI to achieve cultural accuracy, integrating multimodal understanding and continuous self-correction for enhanced performance across languages. It caters to various industries, including media & entertainment, education, retail, and finance, providing solutions for content owners, distributors, dubbing studios, and more.

AI agent for personalized, live video product demos, 24/7 in any language. Karumi is an AI agent that joins live video calls to deliver personalized product demos, 24/7 and in any language. It engages visitors at peak intent and introduces a new generation of interactive, self-guided demos that turn curiosity into conversion. Karumi is an AI-powered product expert that joins your video calls to deliver live product demos, answer questions, and guide customers in real time. It transforms sales, support, and internal training with intelligent, interactive AI assistance, acting as the first agentic product demo platform where prospects receive personalized demos instantly in a video call.

AI platform turning org knowledge into smart agents for automation. Thunai is an Agentic AI Platform with a self-learning brain that transforms an organization's scattered knowledge (including documents, videos, slides, transcripts, audio, links, and chats) into smart AI agents. These agents are designed to handle calls, chats, emails, and tasks, automating support, sales, and marketing processes. Thunai helps centralize information, organize thoughts, and assist in decision-making, turning organizational chaos into clarity. It enables the deployment of agents for various functions such as ticketing, content generation, scheduling, and lead generation.

AI agent connecting apps/websites to automate workflows and autofill data. Magical is an AI agent that connects any two apps or websites to automate work between them without integrations. It autofills forms, databases, and messages, and can be used on 10,000,000+ apps, including Gmail, Zendesk, Salesforce, and LinkedIn.

SymphonyAI offers AI applications for various industries, combining predictive, generative, and agentic AI. SymphonyAI provides AI applications for business, combining predictive, generative, and agentic AI for ready-to-deploy solutions. They offer industry-specific AI applications designed to accelerate outcomes and drive sustainable growth. Their solutions cater to various sectors including Retail CPG, Financial Services, Industrial, Enterprise IT, Media, and Trading & Investing.

Agentic AI platform for enterprise to boost revenue, productivity, and reduce costs. Aisera is an Agentic AI platform for the enterprise that helps businesses accelerate revenue growth, enhance productivity, and reduce costs. It offers AI Copilot, Agent Assist, AI Voice Bot, and AIOps solutions. The platform provides features like AI Search, AI Agents, Dynamic Action Flows, AI Agent Orchestration, Enterprise LLM, AI Workflow Builder, and Gen AI Summarization.

AI-powered agentic brand agency for promptless strategy, logos, and content. AI KAT is the world’s first agentic brand agency, offering AI-powered solutions for world-class brand marketing strategy, logos, and content in minutes. It provides launch-ready brand systems built with intelligence, speed, and soul, designed to operate completely promptless. AI KAT aims to deliver an AI-powered branding toolkit and authentic, on-brand content ten times faster, without requiring any prompts.

AI-native spreadsheet enabling AI to edit data and formulas using natural language. Pane is the first agentic, AI-native spreadsheet designed for modern teams. It allows AI to edit cells and formulas with human-level precision. Pane combines traditional spreadsheet capabilities with a cutting-edge AI Agent that enables users to create, analyze, and collaborate on data by simply describing what they want. The platform features powerful formulas (HyperFormula), interactive charts, cloud syncing, and the ability to automatically generate professional dashboards from imported data.

AI-powered code intelligence platform for automated PR reviews and team insights. Mendel is an AI-powered code intelligence platform that automates PR reviews, flags complexity and compliance issues, and surfaces team insights. Designed for fast-moving teams, it acts as your reviewing agent to keep code clean, secure, and scalable. It helps developers by leveraging agentic AI workflow to automate code review, surface engineering metrics, and provide team insights, enabling faster, safer shipping.

Neo is an Agentic AI platform for presentations that empowers you to create professional-grade slides effortlessly. By leveraging AI-powered templates, Neo mimics human workflows to guide you through the process of building presentations. Whether you’re starting from scratch or repurposing existing content, Neo automates key aspects like template selection, content population, and theme adjustments, allowing you to focus on delivering impactful presentations with ease. Neo is an advanced Agentic AI platform designed to revolutionize the way presentations are created. It combines the power of AI with human-like workflows to help users build professional-grade presentations quickly and effortlessly. With Neo, you can generate, customize, and refine presentations using AI-powered templates that adapt to your content and style. This intelligent platform enhances productivity by automating tasks, allowing you to focus on the message while the tool handles the design.

Moxo is an AI workflow automation platform for business operations. Run processes with humans, AI agents, and systems, across your departments and beyond your walls. Moxo is an AI workflow automation platform for business operations. People and AI agents work the same flow: agents handle the running work, people make the calls that need judgment, and the process runs end to end, across your departments and beyond your walls. Agents prepare documents, chase what's overdue, route work, and monitor progress. Build them in Agent Foundry or bring your own, grounded in your playbooks, no code needed. Choose the model for each task or let Moxo route it automatically, and every run shows its cost and token spend, so you can optimize your AI costs. Agents are graded on real outcomes, not answers, so they get sharper with every run. Moxo is human-in-the-loop automation with supervision and observability built in: decisions that need accountability route to a person, supervisor agents monitor work live, and decision tracing gives you a full audit trail of every run: what the AI saw, what it recommended, what the human decided. In Moxo, building and editing a flow, even at runtime, is as simple as chatting with your AI colleague. Everyone works the same Moxo flow: your teams across departments, your clients, vendors, and partners beyond your walls. Outside participants take action through magic links, with no account needed. Moxo orchestrates the systems you already run, including HubSpot, Salesforce, DocuSign, and Slack, with MCP support and enterprise-grade security (SOC 2 Type II and more).

Parallel SERP & Web-to-Text API engineered for AI Agents and RAG pipelines. Features high concurrency with zero hourly rate limits. SearchCans is a next-generation, high-performance real-time data infrastructure engineered explicitly for autonomous AI Agents, Large Language Model (LLM) grounding, and advanced Retrieval-Augmented Generation (RAG) pipelines. It serves as a unified, ultra-fast data fuel station that seamlessly combines full-scale search engine scraping and an intelligent Web-to-Text Markdown Reader into a single developer-first platform. Our Core Live APIs (Production-Ready): 1. Google Search API (with Rich Snippets) A robust, high-concurrency API designed to fetch real-time Google search results without blocks. It returns structured JSON data containing organic results, Knowledge Graphs, People Also Ask (PAA) questions, news, and rich snippets. Perfect for giving your AI models instant access to the live web. 2. Bing Search API Provides comprehensive alternative search indexing from the Bing ecosystem. Built with the same high-speed parallel architecture to ensure your AI agents have redundant, cross-platform real-time web verification capabilities. 3. Web-to-Text / Markdown Reader API An intelligent web scraping and parsing engine. Paste any URL, and the API renders the page (even heavy JavaScript/SPAs), bypasses Cloudflare, strips out tracking scripts, ads, and bloated HTML, and outputs clean, high-fidelity Markdown text. It is the perfect formatting tool for direct ingestion into LLMs and vector embeddings. Why AI Builders Choose SearchCans 2.0: 1. Proprietary Parallel Search Lanes: Legacy SERP APIs were built a decade ago for SEO marketers, crippling multi-agent workflows with strict hourly rate limits. SearchCans introduces a unique parallel processing architecture. Developers can execute thousands of concurrent requests at the exact same second, enabling heavy enterprise workflow bursting without ever hitting an hourly throttling wall. 2. Advanced Anti-Bot & JS Rendering Bypass: Equipped with premium residential proxy pools and stealth browser fingerprints, SearchCans effortlessly bypasses aggressive anti-scraping walls (Cloudflare, DataDome, Akamai). It fully renders heavy JavaScript-based Single Page Applications (SPAs) to extract the hidden text content that basic utility scrapers miss. Ideal Use Cases for Developers: - Autonomous AI Agents: Perfect middleware for CrewAI, AutoGen, and LangGraph multi-agent orchestration systems that require real-time web context to make decisions. - RAG Knowledge Base Hydration: Instantly ingest clean, un-throttled web text into vector databases via LlamaIndex or LangChain. - AI Search Engines & Perplexity-Clones: Build custom real-time search answering engines with low-latency structured SERP data. Disruptive Pay-As-You-Go Pricing: We hate "subscription fat." SearchCans operates on a 100% transparent, pay-per-success credit model starting at just $0.56 per 1,000 successful requests. No monthly tiers, no hidden fees, and no upfront commitments. Every new developer account receives 100 free test credits instantly upon signup—no credit card required.

iPick.ai: AI-powered stock research platform with conversational search and agentic AI. iPick.ai reimagines Yahoo! Finance with AI agents and Conversational Search to boost research quality and save time for active US stock investors. It converts over 100,000 sources into accurate, high-quality insights using its Ontology.

Decision automation platform using AI for unstructured data processing and insights. Indico Data offers a Decision Automation Platform that leverages intelligent intake solutions to drive better outcomes. It focuses on processing unstructured data to provide real-time, actionable insights for insurance, financial services, and commercial real estate industries. The platform uses Agentic AI and GenAI to automate and streamline decision-making processes across underwriting, claims, and policy servicing.

Vellum AI: A platform for developing, evaluating, and deploying AI products. Vellum AI is a platform designed to help AI product developers take their ideas from early-stage concepts to production-grade features. It provides tooling for experimentation, evaluation, deployment, monitoring, and collaboration, all in one place. Vellum offers features like a visual workflow builder, an SDK, prompt engineering tools, evaluation metrics, retrieval UIs and APIs, one-click deployment, and observability tools to track AI decisions.

AI-powered business process outsourcing and automation for enterprises and foundation model providers. Invisible unlocks your creative potential by doing all your repetitive work for you, unblocking you to innovate. Business Process Outsourcing, Automation & Back Office Support, Invisible delivers digital work faster, better, and cheaper by outsourcing your processes to human agents using AI. Invisible is the AI training and scaling partner for the leading foundation model providers and enterprises.

FortripAI is an AI-powered travel decision and operations platform built for both individual travelers and travel businesses. Most AI travel tools focus on generating itineraries quickly. FortripAI takes a different approach: we believe the hardest part of travel is not simply creating a plan, but making good decisions before, during, and after that plan is created. For travelers, FortripAI supports the journey from Explore to Booking. Users can discover destinations, plan complex multi-city trips, compare different travel options, validate whether an itinerary is realistically feasible, identify hidden risks, optimize routes and hotel combinations, and eventually move from planning to real booking actions. Rather than producing a fixed itinerary after a single prompt, FortripAI is designed around Human-in-the-Loop decision-making. The system asks questions, understands constraints, reasons through trade-offs, and allows users to refine their trip through conversation. Travelers remain in control while AI handles the repetitive research, comparison, validation, and optimization work. FortripAI uses a multi-agent architecture in which specialized AI agents handle different parts of the travel decision process. Planning agents help structure trips, reasoning agents evaluate constraints and trade-offs, validator agents check whether an itinerary actually works, optimization agents test alternative combinations, and booking agents help turn approved decisions into travel actions. One of FortripAI's key capabilities is itinerary validation. A trip may look reasonable on paper but still contain problems such as unrealistic timing, excessive backtracking, fragile connections, poor pacing, closed attractions, incompatible schedules, or insufficient buffer time. FortripAI Validator is designed to stress-test itineraries created by FortripAI, ChatGPT, travel advisors, or travelers themselves before users commit money to the trip. Another major capability is travel optimization. Traditional booking platforms usually assume that the destination, date, and route are already fixed, then rank available options. FortripAI instead treats more of the journey as variables. Its Optimization Agents can test different city orders, transportation combinations, hotel dates, stay sequences, and other configurations to identify options that may reduce cost, travel time, unnecessary transfers, or operational complexity. This is especially useful for multi-city travel, where changing the order of destinations can significantly affect airfare, hotel rates, transportation time, and the overall experience. FortripAI is designed to test combinations that would be tedious or impractical for a traveler to compare manually. For travel businesses, FortripAI provides a separate B2B product built around an Itinerary to Operations Layer. Travel agencies, tour operators, DMCs, and other travel businesses often work with large amounts of unstructured information across customer conversations, itineraries, quotations, supplier requirements, and operational notes. FortripAI helps turn that information into structured workflows. The B2B platform includes AI-powered customer and CRM management, sales support agents, WhatsApp conversation analysis, and itinerary decomposition. Travel businesses can import customer conversations and use AI to extract travel dates, destinations, budgets, traveler profiles, hotel preferences, concerns, objections, special requirements, and other relevant details. This information can then be organized into a structured customer profile instead of remaining buried across long conversation histories. The Sales Agent helps travel advisors understand what matters to each customer, summarize previous conversations, identify missing information, suggest next steps, and support customer communication and follow-ups. FortripAI's Itinerary to Operations capability goes further by transforming client-facing itineraries into standardized B2B bookable and fulfillable travel requirements. A single itinerary can contain accommodation, airport transfers, private vehicles, attraction tickets, tours, activities, guides, insurance, add-ons, and custom services. FortripAI helps identify and structure these requirements so they can be used for sourcing, quotation, supplier communication, and fulfillment. The system is also designed to understand operational relationships that simple itinerary extraction may miss. For example, several days of transportation may represent one multi-day vehicle requirement rather than multiple unrelated transfers. A service may span several cities or dates. FortripAI aims to infer these fulfillment boundaries so that itineraries can be translated into the way travel businesses actually operate. Across both its consumer and business products, FortripAI is built around the same principle: Travel is not just a planning problem. It is a decision and execution problem. For travelers, that means moving from Explore to Plan, Reason, Validate, Optimize, and Book. For travel businesses, it means moving from Customer Conversation to Sales, Itinerary, Requirements, and Operations. FortripAI connects these stages through one AI-native travel intelligence infrastructure designed to help people make better travel decisions and help businesses turn those decisions into executable travel services. FortripAI is an AI travel decision platform that helps travelers go beyond basic itinerary generation. The platform supports the full travel journey from destination discovery and trip planning to itinerary validation, optimization, and booking. It is designed for travelers who want AI to do more than simply produce a list of attractions or a day-by-day schedule. With FortripAI, users can explore destinations based on their interests, dates, budget, travel style, pace, and other preferences. The platform can then help transform those ideas into structured itineraries, including complex multi-city and multi-country trips. FortripAI uses conversational planning rather than treating the first generated itinerary as the final answer. Users can refine their trip through multiple rounds of conversation while the system keeps track of important constraints and preferences. Its reasoning system evaluates factors such as travel time, budget, convenience, transportation, geography, hotel location, pacing, traveler preferences, and potential trade-offs between different options. Instead of simply answering "what should I book?", FortripAI is designed to help explain why one option may be better than another. Key consumer features include: Planner — Builds structured travel itineraries based on user preferences, constraints, travel style, dates, and destinations. It supports complex multi-city travel and allows travelers to refine plans conversationally rather than restarting every time a requirement changes. Reasoning — Evaluates travel constraints and trade-offs before making recommendations. It helps users understand the consequences of different choices rather than simply presenting a list of options. Validator — Stress-tests an itinerary to determine whether it is realistic and executable. It can identify scheduling conflicts, unrealistic pacing, fragile transfers, insufficient buffer time, excessive backtracking, timing risks, and other issues that may not be obvious when looking at an itinerary on paper. The Validator can also be used independently. Travelers can validate itineraries created by FortripAI, ChatGPT, another AI travel tool, a travel advisor, or themselves. Optimization Agent — Tests alternative combinations that travelers may not have time to compare manually. This can include different city orders, transportation routes, hotel dates, hotel sequences, stay combinations, and other travel variables. For multi-city trips, changing the destination order can affect airfares, hotel prices, transfer times, and the overall efficiency of the trip. FortripAI can analyze these relationships instead of assuming the original route is already optimal. Hotel Optimization — Evaluates how changing travel dates, hotel order, split stays, and room combinations may affect the total accommodation cost or availability. Route Optimization — Compares different destination sequences and transportation combinations to reduce unnecessary travel time, backtracking, or cost. Total Trip Optimization — Looks at the journey as a connected system instead of optimizing each booking independently. The cheapest individual hotel or flight is not always part of the best overall trip. Human in the Loop — Travelers remain responsible for important decisions. AI performs research, comparison, reasoning, validation, and optimization, while users can review options, adjust preferences, and approve important actions. Multi-Agent Intelligence — Different specialized agents work on different parts of the travel journey. Planning agents build the itinerary, reasoning agents analyze decisions, validator agents check feasibility, optimization agents test alternatives, and booking agents help move from decisions to actions. Agentic Booking — FortripAI is designed to move beyond recommendation and support the transition from an approved itinerary to real travel actions. Instead of treating flights, hotels, transportation, and activities as isolated searches, booking decisions can be considered in the context of the entire itinerary. For travel businesses, FortripAI includes a dedicated B2B platform called the Itinerary to Operations Layer. This product is designed for travel agencies, tour operators, DMCs, travel advisors, and other businesses that need to manage customer information, sales conversations, itineraries, quotations, suppliers, and operational requirements. Its B2B capabilities include: AI CRM and Customer Management — Organizes customer information, preferences, travel history, conversation context, lead status, and follow-up requirements. Instead of functioning only as a database, the CRM is designed to help businesses understand what each customer actually wants. Customer Intelligence — Extracts useful information from customer interactions, including hard requirements, soft preferences, budget expectations, traveler profiles, objections, concerns, missing information, and potential buying signals. WhatsApp Conversation Import — Allows travel businesses to import customer WhatsApp conversations and analyze them using AI. Requirement Extraction — Identifies dates, destinations, traveler count, budgets, hotel preferences, activities, transportation needs, special requests, and other requirements from long and unstructured conversations. Conversation Summaries — Summarizes previous customer communication so a travel advisor can quickly understand what has already been discussed. Missing Information Detection — Identifies information that may still be required before creating an itinerary, requesting supplier prices, or preparing a quotation. Sales Support Agent — Helps travel advisors prepare responses, explain travel products, address customer objections, identify relevant selling points, and determine the next best action for a lead. Follow-up Support — Helps sales teams understand when and how a customer should be followed up based on previous interactions and the current stage of the sales process. Itinerary Decomposition — Converts client-facing itineraries into standardized B2B travel requirements. A typical itinerary may include accommodation, transportation, airport transfers, private vehicles, attraction tickets, tours, activities, guides, insurance, additional services, and custom requests. FortripAI can identify these requirements and structure them into units that are easier for travel businesses to source, quote, book, and fulfill. Cross-Day Requirement Grouping — Recognizes when multiple itinerary elements actually belong to the same operational service. For example, several consecutive days of private transportation may represent one multi-day vehicle requirement rather than several independent transfers. Cross-City Requirement Understanding — Handles services that span more than one destination or city instead of assuming every service belongs to a single location. Custom Requirement Support — Preserves non-standard and highly customized travel requirements that cannot be represented by simple hotel, flight, or ticket categories. Structured B2B Bookable Units — Converts natural-language travel plans into standardized requirements that can be shared with suppliers, used in quotation workflows, or integrated into travel operations. The goal of FortripAI's B2B product is to reduce the amount of manual work that happens between a customer conversation and the final execution of a trip. A typical travel business workflow may look like: Customer Conversation → Customer Understanding → Sales Support → Itinerary → Service Requirements → Supplier Sourcing → Quotation → Operations. FortripAI is designed to help connect these steps. Unlike generic AI assistants, FortripAI focuses specifically on travel decision-making and travel operations. Its architecture is designed around the complexity of real travel, where timing, geography, pricing, availability, traveler preferences, supplier requirements, and operational constraints are interconnected. For consumers, FortripAI helps answer questions such as: Where should I go? How should I structure a multi-city trip? Is this itinerary actually realistic? Am I spending too much time in transit? Is there a better order for these cities? Could changing my hotel dates reduce the total cost? Are there hidden risks in this itinerary? Which option is better for my specific priorities? How do I move from a plan to actual bookings? For travel businesses, FortripAI helps answer questions such as: What does this customer actually want? What information is still missing? What should the travel advisor say next? Why has this lead not converted? What services are required to fulfill this itinerary? Which requirements should be grouped together? How should the itinerary be translated into supplier-ready requests? How can customer conversations, sales, itinerary design, and operations stay connected? FortripAI is ultimately designed around one principle: Most AI tools can generate travel content. FortripAI focuses on helping travelers and travel businesses make, validate, optimize, and execute better travel decisions.

AI transformation partner providing measured engineering acceleration and custom AI systems. Limestone Digital is an AI transformation and embedded engineering partner that helps enterprises move from AI-absent to AI-native operations. It combines AI training and enablement, custom AI agent development, and accelerated AI-native delivery through embedded engineering pods. The company works inside existing codebases, repositories, cloud environments, and workflows rather than promoting large rewrites. Its engagements begin with a diagnostic sprint that measures cycle time, review load, AI usage, and delivery bottlenecks, followed by production implementation, team enablement, governance, and ongoing measurement. Limestone Digital serves regulated and enterprise industries including healthcare, insurance, lending, compliance, logistics, financial services, legal services, industrial software, and enterprise SaaS.

Reka is an agentic multimodal AI platform for visual understanding and data insights. Reka is an AI research and product company that develops multimodal, modular intelligence solutions. Its platform, Reka Vision, specializes in agentic visual understanding and search across video, image, audio, and text, transforming raw unstructured data into deep insights and actions. Reka delivers complete AI solutions, from visual intelligence platforms for video editing and search to state-of-the-art web agents for researching complex questions, all powered by novel multimodal transformers built from scratch.

A social network built exclusively for AI agents for sharing, discussing, and upvoting content. Moltbook is defined as 'the front page of the agent internet' and functions as a specialized social network built exclusively for AI agents. On this platform, AI agents (Moltys) can share posts, engage in discussions via comments, and upvote content. Humans are explicitly welcomed to observe the interactions, community building, and technical discussions taking place among the autonomous systems. The network features topical communities called 'Submolts' and tracks the reputation of agents through a karma system.